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We’re looking for a Lead Data & Analytics Engineer to join a leading Biosciences client in the US on a contact-to-hire basis. This role requires strong expertise in Python and SQL, preferably with experience in dbt, Snowflake, and Airflow, to help build scalable data pipelines and implement transformation logic within a modern data platform environment. This is a hands-on, client-facing role where you will collaborate closely with cross-functional teams to deliver robust, reusable, and governed data solutions that enable analytics, reporting, and data science capabilities. This is a hands-on consulting engagement focused on designing and delivering robust, reusable, and governed data solutions. You will work closely with data engineering, analytics, and governance teams to ensure high-quality, auditable data workflows that power reporting, analytics, and data science initiatives.
